Determinants of urban public transport efficiency: case study of the Czech Republic

European Transport Research Review

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Table 4 Average efficiency scores of DMUs (2010–2015), CRS and VRS models

City	City code	CRS 1	VRS 1	CRS 2	VRS 2	CRS 3	VRS 3
Brno	BR	1.00	1.00	1.00	1.00	–	–
České Budějovice	CB	0.75	0.75	0.75	0.75	0.78	0.78
Děčín	DE	0.36	0.45	0.37	0.45	0.43	0.49
Hradec Králové	HK	0.68	0.68	0.68	0.68	0.73	0.74
Chomutov–Jirkov	ChJ	0.27	0.38	0.28	0.39	0.33	0.40
Jihlava	JI	0.84	0.85	0.84	0.85	0.84	0.85
Karlovy Vary	KV	0.46	0.51	0.46	0.52	0.52	0.56
Liberec–Jablonec	LJ	0.72	0.72	0.72	0.72	0.73	0.74
Mariánské Lázně	MA	0.99	1.00	0.99	1.00	0.99	1.00
Most–Litvínov	ML	0.49	0.50	0.49	0.50	0.53	0.54
Olomouc	OL	1.00	1.00	1.00	1.00	1.00	1.00
Opava	OP	0.57	0.58	0.57	0.58	0.57	0.58
Ostrava	OS	0.38	0.39	0.38	0.39	0.40	0.66
Pardubice	PA	0.60	0.61	0.60	0.61	0.60	0.61
Pilsen	PL	0.86	0.86	0.86	0.86	0.88	1.00
Prague	PR	0.98	1.00	–	–	–	–
Teplice	TE	0.43	0.44	0.44	0.44	0.45	0.45
Ústí nad Labem	UL	0.74	0.74	0.74	0.74	0.83	0.83
Zlín–Otrokovice	ZL	0.86	0.87	0.86	0.87	0.94	0.95